全职 Test Engineer (AI - LLM Platform) 工作, 薪水, FILIGRAIN 公司招聘中 - Ricebowl

About us

We are an overseas subsidiary of Digital China, one of China’s leading digital transformation and cloud services companies. Backed by Digital China’s strong enterprise technology ecosystem, industry resources, and experience in serving large-scale corporate customers, our team is building AI infrastructure products for global enterprise use.

We are building an AI gateway product to help enterprise customers deploy AI workloads securely and efficiently.

Responsibilities

• Analyze system functionality, develop test plans, and design and maintain test cases.- Independently conduct smoke, functional, API, integration, and regression testing.
• Use AI tools to generate, improve, and validate automated test cases covering core business workflows.
• Conduct performance and stability testing; assist with setting up test environments and analyzing test results.
• Write simple Python scripts for API calls, test data generation, and result validation.- Participate in requirements reviews and release acceptance to ensure system quality.

Requirements

• Extensive software testing experience, with a solid understanding of testing processes and test case design.
• Ability to independently design test scenarios at different levels, including smoke, core functionality, integration, and regression testing.- Familiarity with API testing and HTTP, JSON, and RESTful APIs; proficiency with tools such as Postman, Apifox, and curl.
• Experience using AI coding or testing tools, with the ability to validate AI-generated test code and test results.- Basic performance testing skills and familiarity with at least one tool such as JMeter, Locust, or k6.
• Familiarity with basic Linux operations, including log inspection, process troubleshooting, and assisting with test environment deployment.- Ability to write simple Python scripts.
• Basic understanding of large language models and common usage patterns such as model invocation and streaming responses. Experience calling LLM APIs is preferred.